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Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks Cover

Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks

Open Access
|Nov 2017

References

  1. [1]Introduction to Data compression. Khalid Sayood. 2nd Edition, Morgan Kaufmann Series in Multimedia Information and Systems (Hardcover)
  2. [2]Software Stack Architecture for Self-Organizing Sensor Networks, Vasanth Iyer, G.Rama Murthy and M.B. Srinivas- ICST 2007, Palmerston North New Zealand.
  3. [3]Battery drain (http : //www.techlib.com/ref erence/batteries.html)
  4. [4]Power Law math (http : //en.wikipedia.org/wiki/Power_law).
  5. [5]Environmental measurement OS for a Tiny CRF-STACK Used in Wireless Network. Vasanth Iyer, G.Rama Murthy and M.B. Srinivas- Sensors & Transducers Journal-April 2008, ISSN 1726-5479 2006 by IFSA.
  6. [6]Distributed Wireless Sensor Network Architecture: Fuzzy Logic based Sensor Fusion, G.Rama Murthy, Vasanth Iyer. ISBN 978-80-7368-387-0 pages 71-78 VOL II, Proceedings of the 5th EUSFLAT Conference, Ostrava, Czech Republic, 2007.
  7. [7]Min Loading Max Reusability Fusion Classifiers for Sensor Data Model, Vasanth Iyer, G.Rama Murthy and M.B. Srinivas, 2008 IEEE SENSORCOMM, August 25, 2008 - Cap Esterel, France.
  8. [8]B.Krishnamachari, S.S. Iyengar, IEEE.,Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in WSN, MARCH 2004.
  9. [9]Vasanth Iyer, Garimella Rammurthy and M.B. Srinivas., Training Data Compression Algorithms and Reliability in Large Wireless Sensor Networks. IEEE International Workshop on Embedded Processors, Sensors, and Actuators (EPSA-2008) to be held in Taichung, Taiwan, June 11-13, 2008.
Language: English
Page range: 912 - 921
Published on: Nov 2, 2017
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Vasanth Iyer, Garimella Ram Murthy, M.B. Srinivas, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.